Photon-Counting CT ROI Imaging to Cut Data Volume
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Solution Overview
Problem
The high-resolution images and material discrimination images generated by photon-counting CT apparatuses result in a significant increase in data volume, straining the capacity of image databases like PACS, and potentially causing delays in data transfer and increased radiation exposure.
Innovation Solution
The CT apparatus employs a photon-counting radiation detector that performs initial imaging to detect specific regions of interest, followed by targeted high-resolution or material discrimination imaging within a narrower range, reducing the overall data storage and transfer requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution imaging and material discrimination imaging are performed using a photon-counting radiation detector, then image quality and diagnostic capability are improved, but the amount of data to be stored increases significantly
Solution Approach 1:
The imaging process is divided into two stages: first, a standard tomographic image is reconstructed and analyzed to identify regions of interest; second, only those specific regions are subjected to high-resolution or material discrimination imaging. This segmentation of the imaging workflow reduces the overall data volume while preserving the ability to obtain high-quality images where needed.
Solution Approach 2:
Instead of applying high-resolution imaging uniformly across the entire field of view, the system applies enhanced imaging quality only to specific regions of interest identified in the initial analysis. This localizes the high data quality requirement to only necessary areas, reducing total data storage demands.
2Adaptability or versatility
If high-resolution images and material discrimination images are stored in the image database, then diagnostic capability is enhanced, but the capacity of the image database is strained
Solution Approach 1:
The system performs preliminary imaging and analysis at standard resolution to identify regions of interest before committing to high-resolution or material discrimination imaging. This preliminary action filters out unnecessary data acquisition, ensuring that high-quality images are only stored when clinically necessary, thereby protecting database capacity.
3Quantity of substance
If the imaging range is reduced to decrease data volume, then storage requirements are reduced, but the comprehensive coverage of the subject may be compromised
Solution Approach 1:
The imaging process segments the subject into regions of interest and non-regions. Standard imaging covers the entire subject area, while high-resolution imaging is applied only to segmented regions of interest. This ensures comprehensive coverage is maintained at standard resolution while reducing overall data volume through selective high-resolution imaging.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for the utilization of high-resolution and material discrimination images while effectively managing data volume, reducing storage demands, and minimizing radiation exposure.
Implementation Method 1
a photon-counting radiation detector... performs imaging in which projection data of radiation transmitted through a subject at a plurality of circumferential positions around the subject is detected by the radiation detector
Implementation Method 2
generates a tomographic image of the subject by reconstructing the projection data
Implementation Method 3
detects a specific region that meets a predetermined condition by performing image analysis on a first tomographic image
Data Source
AI summary
A CT apparatus includes a photon-counting radiation detector, and a processor, in which the CT apparatus performs imaging in which projection data of radiation transmitted through a subject at a plurality of circumferential positions around the subject is detected by the radiation detector, and generates a tomographic image of the subject by reconstructing the projection data, and the processor detects a specific region that meets a predetermined condition by performing image analysis on a first tomographic image obtained by reconstructing the projection data, and generates a second tomographic image of a second imaging range that is narrower than a first imaging range of the first tomographic image and that includes the specific region.